A Database of Vocal Tract Resonance Trajectories for Research in Speech Processing
A Database of Vocal Tract Resonance Trajectories for Research in Speech Processing
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DOI：
10.1109/icassp.2006.1660034
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发表时间：
2006-05
期刊：
影响因子：
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通讯作者：
L. Deng;Xiaodong Cui;Robert Pruvenok;Yanyi Chen;S. Momen;A. Alwan
中科院分区：
文献类型：
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作者：
L. Deng;Xiaodong Cui;Robert Pruvenok;Yanyi Chen;S. Momen;A. Alwan
虽然声道共振（VTR，或共振峰，被定义为这样的共振）是已知的人的语音感知和计算机语音处理中发挥关键作用，一直缺乏标准的数据库需要的定量评估的自动VTR提取技术。我们在本文中报告我们最近的努力，以创建一个公开的数据库的前三个录像机频率轨迹。该数据库包含了一个有代表性的子集TEMIT语料库方面的发言人，性别，方言和语音背景，共538句。开发了一个基于Matlab的标记工具，显示高分辨率宽带频谱图，以帮助视觉识别VTR频率值，然后通过鼠标点击和局部样条插值记录。特别注意VTR值在辅音到元音（CV）和元音到辅音（VC）的过渡，并与声道反共振的语音段。使用这个数据库，我们定量评估两种常见的自动VTR跟踪技术的平均跟踪误差分析内的六个主要的广泛的语音类，以及在CV和VC的过渡。VTR数据库在语音处理的几个领域的研究的潜在用途进行了讨论
While vocal tract resonances (VTRs, or formants that are defined as such resonances) are known to play a critical role in human speech perception and in computer speech processing, there has been a lack of standard databases needed for the quantitative evaluation of automatic VTR extraction techniques. We report in this paper on our recent effort to create a publicly available database of the first three VTR frequency trajectories. The database contains a representative subset of the TEMIT corpus with respect to speaker, gender, dialect and phonetic context, with a total of 538 sentences. A Matlab-based labeling tool is developed, with high-resolution wideband spectrograms displayed to assist in visual identification of VTR frequency values which are then recorded via mouse clicks and local spline interpolation. Special attention is paid to VTR values during consonant-to-vowel (CV) and vowel-to-consonant (VC) transitions, and to speech segments with vocal tract anti-resonances. Using this database, we quantitatively assess two common automatic VTR tracking techniques in terms of their average tracking errors analyzed within each of the six major broad phonetic classes as well as during CV and VC transitions. The potential use of the VTR database for research in several areas of speech processing is discussed